Informations générales
Number of hours
- Lectures 8
- Projects 4
ECTSECTS
1
Goal(s)
At the end of this course, students will know:
- how to elaborate a real-time change detection algorithm for a given problem,
- how to chose and tune existing real-time change detection algorithms (Cusum, GLR, Brandt's GLR).
Responsible(s)
Pierre Granjon
Contact details
pierre.granjon@gipsa-lab.inpg.fr
Content(s)
Outline:
1. The change detection problem
2. Detection and estimation theory
3. Uncorrelated signals (Cusum and GLR type algorithms)
4. Extension to correlated signals
5. Application to experimental data
Prerequisites:
Signal processing basics
Probability and statistics
Test
Exam (2 h) + Labwork reports (4 h)
Calendar
S1
Bibliography
[1] Detection of Abrupt Changes: Theory and Application, M. Basseville and I. V. Nikiforov, Englewood Cliffs, 1993
[2] Fundamentals of Statistical Signal Processing: Detection Theory, S. Kay, Prentice Hall, 1998
French State controlled diploma conferring a Master's degree
